CRIPAC-DIG/tgm-dlm
Code for AAAI24 paper Text-Guided Molecule Generation with Diffusion Language Model
This project helps chemists and materials scientists generate new molecular structures based on text descriptions of desired properties or functions. You provide textual prompts describing the kind of molecule you need, and it outputs a list of candidate molecular structures. This tool is designed for researchers in chemistry, pharmaceuticals, and materials science who need to design novel compounds.
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Use this if you need to computationally design new molecules by describing their characteristics in natural language, accelerating drug discovery or material innovation.
Not ideal if you need to generate molecules based on structural inputs like SMILES strings or graphical representations, or if you need a tool for analyzing existing molecules.
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Python
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Last pushed
Jun 24, 2025
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